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星期四

  1. Waymo:Blog

    Waymo 研究:清醒司机夜间致死风险仍高 3.1 至 3.9 倍

    Waymo 两项同行评审研究显示,剔除酒驾因素后,美国 50 个最大城市平均致死事故率仅从每亿英里 1.42 起降至 1.10 起(降 23%),但完全清醒司机夜间致死风险仍是白天的 3.1 至 3.9 倍。基于 2023 年 FARS 数据库 37654 起致死案例的分析发现,仅 8.2% 只涉及单纯人为行为因素,超 77% 涉及超速、酒驾或未系安全带/未戴头盔中的至少一项。

    safety of autonomous vehicles against a higher safety bar — a non-impaired human driver. The results show that removing alcohol-involved drivers from the data pool reduces the average urban fatal crash involvement rate by 23%—dropping from 1.42 to 1.10 incidents per 100 million miles. The impact of alcohol varies heavily by geography. In Houston, for example, removing impaired drivers lowers the fatal crash rate by a staggering 31%. In contrast, in Minneapolis, the reduction is 13%. This underl

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  2. Google Developers Blog

    Google 开源 AQuA:诊断生产环境智能体的环境质量智能体

    Google Developers Blog 发布 AQuA(Ambient Quality Agent),一个在 Google Cloud 项目内旁路运行的质量智能体,按计划、部署后或按需扫描 Cloud Trace、Cloud Logging 或 BigQuery 中的生产轨迹,不进入请求路径也不回写智能体。它通过采样、评审、聚类、验证、跟踪五阶段流水线,把失败会话聚成候选问题簇,再由独立模型对照最多三条完整轨迹验证,并以 NEW、RECURRING 或 14 天未见自动 RESOLVED 跟踪。在 travel-concierge 的 32 会话多智能体扫描中,42 条发现聚成 9 个候选簇、验证后保留 6 个已核实问题,修复后座位选择绕过从 15 个会话降至 2 个、纯素偏好遗漏从 7 个降至 0、整体通过数从 5/32 升至 13/32。

    Figure-0-Blog-Header-1600x900

    QuA's runner, BigQuery dataset, and Cloud Run dashboard (behind Identity-Aware Proxy), agents-cli deploy writes an immutable snapshot of travel-concierge's source tree to Cloud Storage keyed by the deployment revision (Revision 1). On the dashboard's Configuration page, we save a developer goal (goal.md) to steer the review toward high-level product invariants and suppress stylistic noise (while still requiring every finding to cite a concrete turn where an agent or sub-agent violated its instru

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  3. Artificial Analysis 完整文章

    Harvey LAB-AA v1.1 发布:新增幻觉检查,Grok 4.7 以 9.4% 居首

    Artificial Analysis 与 Harvey 合作推出 Harvey LAB-AA v1.1,为法律智能体评测加入幻觉审计,并以 Hallucination-Gated All-Pass Rate 作为新头条指标。Grok 4.7 (xhigh) 以 9.4% 领先,Muse Spark 1.3 (max) 为 8.9%,GPT-6 Astra (max) 为 8.6%。测试中超过 60% 原本通过的结果含实质性幻觉,Muse Spark 1.3 未加幻觉门槛时以 26.7% 领先,但其中三分之二的通过含实质性幻觉。

    r than only through criteria selected for difficulty. We report the Criterion Pass Rate before the hallucination gate alongside material hallucinations per task to show rubric coverage and grounding separately. For up-to-date results see the Harvey LAB-AA evaluation page. This article shows data as at 8 October 2026. Changes in Harvey LAB-AA v1.1 We collaborated with Harvey to update Harvey LAB-AA to v1.1. The update changes how the benchmark is graded and scored, so v1.1 results are not directl

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  4. Google Developers Blog精选

    Google 开源端侧 GPU 推理引擎 ML Drift

    Google AI Edge 团队以 Apache 2.0 协议开源端侧 GPU 计算引擎 ML Drift,它抽象 OpenGL ES、OpenCL、Metal 和 WebGPU,是 LiteRT 的核心 GPU 加速引擎,也可作为独立库使用。相比旧版 TFLite GPU delegate,它引入张量虚拟化统一 shader、可扩展自定义算子框架、5D 张量支持和针对 LLM 的阶段性优化,并新增 Windows 和 Linux 桌面预览。官方称 Gemma 基准中内存开销最多降低 12%,YouTube Shorts 平均帧延迟最多降低 40%,Google Photos 提速最多 2 秒,Adobe Lightroom 与 Photoshop 端侧性能最多提升 30%,Snapchat 镜头模型延迟改善 30%。旧版 TFLite GPU delegate 将不再获得新功能更新。

    ML Drift banner

    st advanced generative AI, ensuring that your models are running on our most efficient, forward-looking GPU compute engine. To achieve both peak performance and expanded model coverage across classical and generative architectures, ML Drift introduces core architectural changes and structural upgrades over the legacy TFLite GPU delegate. Unified Shaders via Tensor Virtualization: Historically, maintaining optimized shaders for the TFLite GPU delegate required hardcoding logical tensor mappings d

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  5. Artificial Analysis

    Artificial Analysis 发布 AA-Music-Instrumental v1.1 提示词

    AA-Music-Instrumental v1.1 提示词:“孟菲斯传统中的深南部灵魂乐,像一首带福音色彩的叙事曲般缓慢燃烧。粗粝的管风琴拉出长长渐强的和弦,干净吉他在其间弹出短促刺人的回应,鼓点沉重而滞后,衬着一条简单圆润的贝斯。听起来温暖而略带浑浊,像一支乐队在小录音室里现场录到磁带上。它保持纯器乐,听起来疲惫而悲伤。”

    AA-Music-Instrumental v1.1 prompt: "Deep southern soul in the Memphis tradition burns slow like a ballad with a gospel edge. A gritty organ holds long swelling chords while a clean guitar plays short stinging replies and the drums drag heavy and late behind a simple round bass. It sounds warm and slightly muddy, like a band cut live to tape in a small studio. It stays instrumental and sounds tired and sad."

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  6. Google Research精选

    Google Research 三个月实验:AI 提升专利撰写质量,但只让资深律师的判断力增长

    Google Research 与 NBER 发布一项针对 133 名专利律师的三个月随机对照实验,使用当时未发布的 Google Labs AI 专利撰写助手(现属 Gemini Notebook)。结果显示,使用 AI 的律师撰写质量提升 0.34 至 0.38 个标准差,主要来自低分减少、高分增多,优秀评分数量没有变化。在禁用 AI 的专利审校任务中,资深律师(7 年以上经验)比对照组高 0.45 个标准差,初级律师则没有平均提升,分数同时向高分和低分两端分化。

    Histograms comparing the density of average redlining scores between control and treatment groups for all, junior, and senior lawyers.

    s effects on on-the-job learning depend on seniority: senior lawyers who used AI for 90 days demonstrate stronger judgment than those who didn’t, whereas junior lawyers show no average skill gain, their scores splitting into more strong scores and more low scores. Judgment is what sets senior professionals apart from their junior peers. Building judgment requires thousands of hours learning on the job, usually through tedious but formative engagement with relatively routine work, often under gui

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  7. TechCrunch AI

    微软发布搭载 Nvidia 芯片的 AI PC 与新版 Windows 11

    微软在旧金山 Tech Week 活动上公布新款 Surface Laptop Ultra 的规格与价格,两个基础型号分别 2600 美元和 3700 美元起,选配更高内存与存储后最高 5900 美元,微软称最高配机型已售罄。同时发布搭载 RTX Spark 芯片的 Surface RTX Spark Dev Box 工作站,6000 美元起,预装 VS Code、GitHub Copilot CLI、WSL 和 PowerShell 7,两款设备均主打在本地免费运行 AI 模型。新版 Windows 11 加入 Execution Containers 功能,微软称可更便捷地为 AI 智能体做沙箱隔离,该功能将面向所有 Windows 11 用户开放;戴尔同日也公布了 Dell XPS 16 Creator Edition 的细节,售价 3800 美元,现已开启预订。

    ra . The PC comes in two base models, one that starts at $2,600 and one with a more powerful chip that starts at $3,700. Prices rise from there with options for more memory and storage, up to $5,900. (Microsoft says the highest-end device is already out of stock.) Microsoft also revealed its new workstation powered by the RTX Spark chip: the Surface RTX Spark Dev Box, which starts priced at $6,000 and comes equipped with Microsoft dev tools like VS Code, GitHub Copilot CLI, WSL, and PowerShell 7

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  8. MarkTechPost

    Liquid AI 开源 d1-3B 与 d1-omni-600M 多模态决策模型

    Liquid AI 发布 Open d1 系列两款开源权重多模态决策模型:d1-3B 读取文本与图像,d1-omni-600M 读取文本加图像或音频,两者都不生成文本,而是在一次前向传播中返回校准后的类型化答案,输出 token 数为 0。d1-3B 有 3.12B 参数,基于 LFM2.5-VL-3B,使用 400M SigLIP2 NaFlex 视觉编码器和 32,768 token 上下文;d1-omni-600M 有 587M 参数,基于 LFM2.5-Encoder-350M,音频编码器为 17 层 FastConformer,上下文 16,384 token,音频片段上限 30 秒。两个检查点已上 Hugging Face,可通过 Transformers 加载并支持 llama.cpp,LFM Open License v1.0 允许年收入低于 1000 万美元的免费商用;d1-3B 在 Decision Index v0.2.1 得 48.57,在 RTX 4090 上单问题延迟 8 ms。

    ither checkpoint is a chat model. How are d1-3B and d1-omni-600M built? d1-3B has 3.12B parameters and starts from LFM2.5-VL-3B, a decoder-only vision-language model. Liquid AI averaged the weights of LFM2.5-2.6B with that model’s text backbone. It then fine-tuned several checkpoints with different seeds and data mixtures, and merged them again. It uses a 400M SigLIP2 NaFlex vision encoder and a 32,768-token context. Long inputs, shuffled answer options, and fixing data shortcuts mattered more t

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  9. Artificial Analysis精选

    Anthropic 发布 Claude Haiku 5.5,智能指数得分 43 分

    Anthropic 发布 Claude Haiku 5.5,在 Artificial Analysis 智能指数上得分 43,比上一代 Haiku 发布一年后提升 26 分。这是首个带 effort 设置和自适应思考的 Haiku 模型,并引入分层定价:100k token 以内为每 1M 输入/输出 token 0.10/0.50 美元,超过 100k 后涨至 0.50/2.50 美元。评测显示其 max 档略高于 GLM-5.3 Flash(42)、Gemini 3.8 Flash(41)和 GPT-6 Luna(38),但每个任务约消耗 162k 输出 token,约为 GPT-6 Luna 的 3 倍;上下文窗口从 200k 提升至 1M token。

    does not yet reflect tiered pricing, so provisional cost figures for Haiku 5.5 do not include the step up cost. We are working on support and will follow up with Cost per Task coverage soon. Key takeaways: ➤ Leading small-class model performance: At max effort Haiku 5.5 sits slightly ahead of models such as GLM-5.3 Flash (42), Gemini 3.8 Flash (41) and GPT-6 Luna (38). Its score is comparable to Kimi K3 (44), a 2.8T parameter open weights model, and trails Claude Sonnet 5.5 (max, 56) by 13 point

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  10. Arena

    Claude Haiku 5.5 上线 Arena 的 Agent Arena 与 Code Arena

    Arena 宣布 Anthropic 的 Claude Haiku 5.5 已接入 Arena,可在 Agent Arena 中测试,分数稍后公布。Agent Arena 基于全球用户数百万条真实长程智能体任务评测模型,模型可调用网页搜索、文件系统和终端工具,排行榜用因果追踪方法衡量模型相对平均模型的结果表现。Claude Haiku 5.5 同时已在 Code Arena 的 WebDev、Text、Document 和 Vision 中提供。

    cAI is now in the Arena. Head to Agent Arena to test it out, scores coming soon! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Claude Haiku 5.5 is also available in Code Arena: WebDev, Text, Document and Vision.

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  11. The Decoder精选

    Anthropic 发布 Claude Haiku 5.5,价格最高降 90%

    Anthropic 发布 Claude Haiku 5.5,这是其目前最快、最便宜的小模型,平均价格比 Haiku 4.5 低约 75%,10 万 token 以内提示词最高降价 90%,超过 10 万 token 则贵 5 倍。基准测试显示其计算机使用能力提升明显,OSWorld-2.1 得分从 15.7% 升至 72.4%,Terminal-Bench 4.0 从 0 升至 39.2%,Humanity's Last Exam 无工具 45.9%、有工具 57.4%。该模型是首个支持可调推理等级的 Haiku 级模型,已在 AWS、Google Cloud 和 Microsoft Azure 上线,同时 Sonnet 5.5 的缓存读取费用从每百万 token 0.20 美元降至 0.10 美元。

    net 5.5. Haiku 5.5 is designed for high-volume, cost-sensitive tasks like summarization, database queries, classification, and live customer support, according to Anthropic. On average, the model costs about 75 percent less than Haiku 4.5. For requests with prompts up to 100,000 tokens, which Anthropic says account for roughly 90 percent of all previous Haiku requests, prices drop by up to 90 percent. Prompts longer than 100,000 tokens cost five times as much. Anthropic points out that Haiku 5.5

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  12. TechCrunch AI

    Common Sense Media 将 ChatGPT for Teens 评为不可接受风险

    Common Sense Media 发布研究,将 OpenAI 的 ChatGPT for Teens 评为不可接受风险,称其设计仍在鼓励青少年持续对话,包括在心理危机情境中。报告指出,当风险来自青少年与 ChatGPT 自身的关系时,模型很少引导其求助可信成年人,近 2000 条提示中仅出现两次休息提醒。OpenAI 反驳称该测试未准确反映实际防护机制,并质疑其方法学,认为大部分测试可能在家长控制功能完全启用前就已开始和结束。

    o high-risk content, and protection against emotional dependence. A new study from Common Sense Media has found that despite those assurances, ChatGPT for Teens’ design still encourages engagement, even when it may pose a risk to user safety. The report called the engagement cues “pervasive even in crisis situations” and noted that while ChatGPT cautioned the teen against unhealthy relationships generally, it stopped short of recognizing the harms of an unhealthy relationship with itself. “Our v

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  13. The Verge AI

    微软 Surface Laptop Ultra 发布,搭载 Nvidia RTX Spark 芯片

    微软在旧金山 Windows 与 Surface 发布会上公布 Surface Laptop Ultra 的上市信息,这款搭载 Nvidia RTX Spark Arm 芯片的笔记本起售价 2,599 美元,10 月 16 日发售,配备 15 英寸 HDR 触控屏、最高 2,000 尼特亮度和支持触觉反馈的更大触控板。面向开发者的 Surface RTX Spark Dev Box 迷你主机同步开启预售,售价 5,999 美元,11 月发货,搭载 128GB 统一内存,可本地运行超过 120B 参数的模型。Windows 方面推出名为 Hybrid Intelligence 的功能,让 Copilot 访问本地文件并跨系统执行操作,同时新增可从搜索栏直接执行快捷操作的新搜索体验。

    p Ultra , its new laptop that’s powered by Nvidia’s RTX Spark Arm-based chip. The machine will start at $2,599 for a configuration with an 8-core CPU, 24GB of RAM, and 512GB of storage, and it will be released on October 16th. The laptop also has built-in magnetic USB-C charging instead of the proprietary Surface Connect magnetic charging port. The Verge ’s Tom Warren published a deep dive all about the new laptop . Microsoft also announced that the Surface RTX Spark Dev Box, a mini PC for devel

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  14. Claude Devs精选

    Claude Haiku 5.5 上线 Claude Platform 与 Claude Code

    Claude Haiku 5.5 已在 Claude Platform 和 Claude Code 上线,官方称其平均运行成本比 Haiku 4.5 低约 75%。它适合作为 Opus 5.5 或 Sonnet 5.5 的子智能体,用于摘要、压缩、数据库查询等高频且成本敏感的任务。定价方面,100K token 以内的提示词为每百万 token 输入 $0.10、输出 $0.50,缓存读取 $0.01;超过 100K token 后为 $0.50 / $2.50,缓存读取 $0.05。

    Haiku 5.5 is now available in the Claude Platform and Claude Code. On average, it costs around 75% less to run than Haiku 4.5. It pairs well with Opus 5.5 or Sonnet 5.5 as a subagent. Use it for high-volume, cost-sensitive tasks like summaries, compactions, or database queries. https://t.co/RB9xCWo4Db

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  15. GitHub Blog · AI & ML精选

    GitHub 推出 ModernBERT 密钥检测分类器,将 push 防护扩展到非结构化密钥

    GitHub 发布与 Microsoft Applied Sciences 联合微调的 ModernBERT 分类器,用于在 push 阶段识别非结构化密钥,可在 2 毫秒内评估一批候选密钥,官方称可将可拦截的密钥数量提升一倍以上。该功能目前处于 private preview,本月晚些时候面向 Enterprise Cloud 和 GitHub Teams 上购买 GitHub Secret Protection 的组织开放,并消耗 AI credits。GitHub 同时把该模型接入 AI secret detection 的推送后扫描、GitHub Enterprise Server 3.23 公开预览,以及 Copilot CLI 和 Copilot App 的 /security-review 命令。文中还给出九个季度数据:Q2 2024 至 Q2 2026 受检 push 增长 2.84 倍,携带凭据的 push 增长 2.59 倍,开发者覆盖 push 拦截的比例从 6.63% 降至 3.93%,手动吊销密钥的平均时间约 40 天。

    program, we work with participating secret issuers to build out detectors and report public exposures so they can respond. In Q2 2026, public scanning successfully reported an average of 26 credential matches a second, including repeat observations. Once notified, a large number of these partners immediately revoke the token: OpenAI API keys, Google Cloud account credentials, Slack webhooks, Hugging Face user tokens, SendGrid keys, etc. The owner may still need to replace the token, but revocat

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  16. a16z:News

    a16z 投资 Preference Model,其开源 RL 环境框架 Karotte 同步亮相

    a16z 宣布投资 Preference Model,该公司过去一年为多家前沿实验室构建强化学习环境,专注 AI 研究与 ML 工程任务。本周其开源生产环境框架 Karotte,内置评分前清理残留进程、拒绝可导致评分器崩溃的文件等防护,已通过超过一百万次评测运行和受控红队测试。a16z 认为,让模型参与构建更好的 AI 是通往更强能力的最快路径。

    , and Jennifer Li; Who Grades the AI Models? | Ben Horowitz & Rayan Krishnan Rayan Krishnan, Ben Horowitz, Jennifer Li, and Erik Torenberg; Investing in Vals Jennifer Li, Yoko Li, Raghu Raghuram, and Shangda Xu; Investing in Exa Sarah Wang, Jennifer Li, Stephenie Zhang, and Jason Cui Analysis and news covering the latest trends reshaping AI and infrastructure. new Investing in TypeSafe AI new Investing in General Medicine Investing in Conway, the Creator of Underdog new Investing in TypeSafe AI

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  17. Gary Marcus:The Road to AI We Can Trust

    Gary Marcus 评 OpenAI 数学新成果:结果不是重点,信息不透明才是

    Gary Marcus 批评 OpenAI 最新数学成果的发布方式:报告措辞含糊,未说明所用模型、具体流程、架构、失败率以及训练与数据增强细节,因此无法判断该结果在数学之外的可泛化性。他认为这类发布无法通过同行评审,社交媒体上的讨论也缺乏基本科学追问;该系统既可能是迈向 AGI 的一步,也可能只是在 Lean 与合成数据构成的可验证领域中的取巧。

    ero idea of how generalizable the result is outside math. 3. A lot of the discussion on social media has been reduced to an ignorant cheering section that applauds without knowing what it is applauding or what it might mean— without ever asking basic scientific questions. The new system could be a legitimate step toward AGI. Or it could just be a clever leveraging of Lean and synthetic data in a verifiable domain with no generality whatsoever. From the initial report, we can tell almost nothing.

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  18. Stanford HAI News

    斯坦福 HAI 研究:把 AI 当生产力工具推销,员工反而不用

    斯坦福 HAI 研究团队在律所、广告公司和 IT 服务公司调研 184 名员工后发现,当 AI 被定位为生产力工具时员工往往不愿使用,而被定位为丰富工作内容时使用意愿明显提升。在律所对照实验中,被鼓励用 LawBot 处理枯燥任务并腾出时间做更有趣工作的法务助理,使用量比另一部门高 58%,探索性使用高 70%。研究者指出,管理者还需配套培训、知识分享和探索时间,并把考核指标从案件数量转向工作价值。

    unterproductive behavior. Some companies track employee AI token consumption, or the amount of text processed or generated, and equate heavy use with value. But that strategy encourages workers to use AI for its own sake — generating cat memes to hit a quota, as Karunakaran puts it — rather than deploying it for legitimate business objectives. The Best Jobs for AI One more factor contributing to successful AI adoption is whether a particular job consists of strongly or weakly bundled tasks. Sale

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星期三

  1. Data Center Knowledge

    HPE 发布 ProLiant Gen13 服务器,转向 CPU-GPU 均衡的企业 AI

    HPE 发布首批四款基于 AMD 第六代 Epyc 9006 SP7(代号 Venice)的 ProLiant Gen13 服务器,面向企业 AI 推理、智能体 AI 及分析、虚拟化等传统负载。旗舰 DL585a Gen13 支持最多 8 块 GPU 和两颗 Venice 处理器,2027 年 3 月上市,将兼容 Nvidia、AMD 和 Intel 的 GPU;DL525 为 1U 单路系统,最高 256 核,2026 年 11 月上市。Gen13 还引入 iLO 8 自动化安全与后量子密码就绪能力。

    批四款 ProLiant Gen13 服务器,全部搭载 AMD 第六代 Epyc 9006 SP7 系列 CPU(代号“Venice”),具备新的自动化安全功能和扩展的管理能力。 该公司表示,新款高端 ProLiant DL585a Gen13 服务器最多可配备八块 GPU 和两颗 AMD Venice 处理器,专为 AI 推理、智能体 AI、检索增强生成(RAG)模型微调和分析等要求严苛的企业工作负载而设计。HPE 服务器产品管理、质量与技术攻关副总裁 John Carter 表示,该服务器将于 2027 年 3 月上市,将支持来自 Nvidia、AMD 和 Intel 的 GPU。 “这些不是大型的 [Nvidia Vera Rubin] NVL72 或 AMD Helios 这类纵向扩展系统。这是面向企业级客户的,”Carter 在接受 Data Center Knowledge 采访时表示。“这是我们首次用 AMD 头节点打造这类企业级 AI 系统。借助更大的内存带宽和更高性能的 CPU,这里有许多出色的性能提升。” HPE 还推出了三款以 CPU 为核心的服务器。该公司表示,

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